Sr Lead Software Engineer - Python Backend

JPMorgan Chase & Co.; Bengaluru; On-site; INR 3,600,000 - 6,000,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru seeks a Senior Lead Software Engineer to guide an agile team delivering secure, scalable technology products for Asset and Wealth Management.

You will design and build high-quality production code, drive AI-assisted engineering practices, ensure zero-downtime releases, and mentor engineers while collaborating across disciplines.

Experience with cloud platforms, distributed systems, and SDLC automation is essential.

Qualifications

• Formal training or certification in software engineering concepts and 5+ years applied experience.
• Experience with cloud platforms (AWS/Azure/GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
• Proficiency in automation and continuous delivery methods; understanding of CI/CD, application resiliency, and security.
• Demonstrated experience leading enterprise-enabled AI-assisted software development tools and driving responsible AI usage.

Responsibilities

• Provides technical guidance to business and technical teams, contractors and vendors.
• Develops secure, high-quality production code and reviews code from others.
• Drives AI-assisted engineering practices across teams to improve quality, speed, and reliability with measurable validation standards.
• Applies SDLC tools and AI-assisted development to enhance automation at scale.
• Influences product design, functionality, and technical operations.
• Acts as a function-wide subject matter expert in one or more areas.
• Contributes to engineering community by promoting firmwide frameworks and best practices.

Skills

Cloud platforms

Distributed systems

RESTful APIs

WebSockets

JSON

CI/CD

AI-assisted development tools

Security and resiliency

Education

Formal training or certification in software engineering concepts

Tools

AWS

Azure

GCP

SQL

NoSQL

Web services

Job description

Job Information

• Job Identification 210802819
• Job Category Software Engineering
• Business Unit Commercial & Investment Bank
• Posting Date 10/23/2026, 09:18 AM
• Apply Before 11/27/2026, 05:00 AM
• Job Schedule Full time

Job Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Promptly investigate and resolve issues, ensuring they do not resurface.

Continuously update technologies and patterns to keep systems current.

Design and build solutions that avoid single points of failure using scalable architectural patterns.

Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

Demonstrated ability to independently solve design and functionality challenges with minimal supervision.

Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, includingRESTful APIs and web services, WebSockets, and JSON.

Hands-on experience designing and building scalable applications using SQL and NoSQL databases. Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle. Understanding of application resiliency

Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight. Practical cloud native experience

Preferred qualifications, capabilities, and skills

Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.

Strong problem-solving, analytical, and communication skills.

Ability to drive broader impact by sharing and contributing best practices.